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Identifying the Best Combination of Crossover and Mutation Operators in NSGA-II for Redundancy-based Optimal Design of Water Network

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dc.contributor.authorDonghwi Jung-
dc.date.accessioned2022-07-09T08:40:38Z-
dc.date.available2022-07-09T08:40:38Z-
dc.date.created2022-07-09-
dc.date.issued2022-04-10-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/142501-
dc.publisherIndia International Congress on Computational Intelligence-
dc.titleIdentifying the Best Combination of Crossover and Mutation Operators in NSGA-II for Redundancy-based Optimal Design of Water Network-
dc.title.alternativeIdentifying the Best Combination of Crossover and Mutation Operators in NSGA-II for Redundancy-based Optimal Design of Water Network-
dc.typeConference-
dc.contributor.affiliatedAuthorDonghwi Jung-
dc.identifier.bibliographicCitation2022 6th International Conference on Intelligence Systems, Metaheuristic & Swarm Intelligence-
dc.relation.isPartOf2022 6th International Conference on Intelligence Systems, Metaheuristic & Swarm Intelligence-
dc.relation.isPartOf학술대회 초록집-
dc.citation.title2022 6th International Conference on Intelligence Systems, Metaheuristic & Swarm Intelligence-
dc.citation.conferencePlaceII-
dc.citation.conferenceDate2022-04-09-
dc.type.rimsCONF-
dc.description.journalClass1-
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